Multicollinearity Test Tutorial with SPSS - Multicollinearity test SPSS
This video explains the multicollinearity test tutorial with SPSS using the Tolerance and VIF methods. In addition to explaining the basic concept of the multicollinearity test, in this video I will also do the Multicollinearity test method with SPSS, not forgetting the full Multicollinearity test SPSS interpretation. The multicollinearity test aims to find out whether the independent variables have a high correlation. In a multicollinearity test, if the independent variables have a low correlation, good results will be obtained. The Multicollinearity test is a classic SPSS assumption test in multiple linear regression analysis. The methods commonly used by researchers in the classical multicollinearity assumption test with SPSS are VIF and Tolerance or it can be called the VIF Multicollinearity test (Multicollinearity VIF).
Watch until the end, my friends, in this video we discuss how to test multicollinearity with SPSS or analyze multicollinearity tests with SPSS and how to read multicollinearity test results.